Abstract: Disclosed are a method and an IoT large model system for smart city elevator operation, and a storage medium. The method includes: determining an anomaly feature of a target elevator based on a load and an elevator feature of the target elevator through an anomaly database corresponding to the target elevator; determining an elevator operation risk of the target elevator based on the anomaly feature; determining a passenger posture feature and a passenger distribution feature based on elevator car image data of the target elevator, and determining a passenger behavior risk; determining an out-of-control risk of the target elevator based on the elevator operation risk and the passenger behavior risk; generating an elevator regulation instruction for the target elevator based on the out-of-control risk; and controlling an operation speed of the target elevator based on the elevator regulation instruction.

Abstract: A system and a method for emergency supervision of an open flame area in a smart city based on an IoT large model are provided. The system includes an emergency supervision management platform configured to: determine a first hazardous area based on a gas output flow rate of at least one gas storage tank and a gas usage flow rate of at least one gas device in at least one area; control a UAV to travel to the first hazardous area based on a UAV acquisition command, and acquire a device image sequence; determine, based on the device image sequence, a flame feature through a feature recognition large model; determine an explosion risk of the first hazardous area based on the flame feature and an air flow rate; and determine a valve closure command based on the explosion risk, and close a target valve based on the valve closure command.

Abstract: A gas purification system and method based on an intelligent gas regulatory IoT are provided. The method includes obtaining target detection data and target flow data of a pipeline to be recovered; determining a gas pollution value based on the target detection data and the target flow data; determining at least one candidate purification parameter based on a reference purification parameter; determining, for each of the at least one candidate purification parameter, a purification effect based on the gas pollution value, a total gas volume, and the candidate purification parameter through an effect determination model; determining a purification parameter based on the purification effect of the at least one candidate purification parameter; determining a recovery instruction and sending it to at least one user interaction device via the gas device object platform; in response to obtaining a recovery completion instruction, sending the purification parameter to the gas device object platform.

Abstract: Disclosed is a method for controlling data transmission for smart gas, comprising: obtaining gas data of a gas user, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period; determining the upload demand degree based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to the smart gas management platform based on the smart gas object platform at a target upload time point of at least one smart gas meter of the gas user.

Abstract: The present disclosure provides an Industrial Internet of Things for early warning of descending function fault of equipment, comprising a management platform, wherein the management platform is configured to perform following operations including: obtaining execution status of at least one production task executed by equipment in a preset time period; based on the execution status of the at least one production task, judging whether the equipment has a descending function fault; in response to the equipment having the descending function fault, issuing an early warning and repairing the equipment.

Abstract: The present disclosure relates to a method and system for city lifeline pipeline burst prevention based on an IoT large model. The method includes: obtaining fluid pressure data; determining a pipe burst probability of a pipeline network node based on the fluid pressure data; and determining a target valve and a valve opening degree of the target valve based on the pipe burst probability, and controlling the target valve to the valve opening degree.

Abstract: Disclosed are an IoT system, a method, and a storage medium for generating a sampling parameter for a gas pipeline. The method is executed by a government safety monitoring and management platform, and includes: obtaining pipeline sensing data; determining the sampling parameter based on the pipeline sensing data; and in response to obtaining at least one piece of sampling data from at least one sampling device, determining a fault detection command based on the sampling data, and sending the fault detection command to a gas maintenance object platform to schedule a manual inspection. The IoT system includes the government safety monitoring and management platform, a government safety monitoring sensing network platform, a government safety monitoring object platform, a gas company sensing network platform, a gas equipment object platform, and the gas maintenance object platform. The method may be executed by reading computer instructions stored in a non-transitory computer-readable storage medium.

Abstract: A system for emergency prevention and control for urban lifeline gas pipelines during flooding based on a large model is provided. The system includes an emergency supervision-management platform configured to: construct a gas pipeline network map based on pipeline pressures and gas flow rates of a plurality of pipeline nodes; determine a plurality of suspected leakage points and a plurality of leakage confidence levels of the plurality of suspected leakage points; perform an evaluating process on each suspected leakage point; determine, based on a plurality of corrosion risks and a plurality of deformation risks of the plurality of suspected leakage points, a comprehensive risk of a target pipeline node using a prediction model; and in response to the comprehensive risk meeting a drainage condition, automatically send a control signal to a drainage robot to drive the drainage robot to carry out drainage.

Abstract: An intelligent manufacturing industrial Internet of Things with a front split service platform for calibrating a binocular camera is provided, which includes: an obtaining module configured to obtain an image taken by a first camera on a production line as a first image data and an image taken by a second camera as a second image data through a sensor network platform; a three-dimensional module configured to process into three-dimensional image data; a recognition module configured to obtain a plurality of point positions of a distortion part as judgment point positions; a mapping module configured to map the judgment point positions to the second image data to form second calibration point positions; and a calibration module configured to calibrate the first camera and the second camera according to first calibration point positions and the second calibration point positions.

Abstract: A gas recovery system and method based on an intelligent gas regulatory IoT are provided. The system includes a government regulatory management platform, a government regulatory sensor network platform, a government regulatory object platform including a gas company management platform, a gas company sensor network platform, and a gas device object platform. The method includes obtaining target detection data and target flow data of a pipeline to be recovered from the gas device object platform; determining a gas pollution value based on the target detection data and the target flow data; determining a purification parameter of a purification device based on the gas pollution value and the target flow data; determining a recovery instruction and sending it to at least one user interaction device via the gas device object platform; in response to obtaining a recovery completion instruction, sending the purification parameter to the gas device object platform.

Abstract: Provided is a system and a method for suburban gas pipeline emergency supervision used in an urban lifeline project, the system includes an emergency supervision and management platform and an emergency supervision object platform, and the emergency supervision and management platform is configured to: in response to completion of a remote regulation operation of a target gas pipeline, obtain a first information sequence; determine a first regulation feature based on the first information sequence and a remote regulation parameter of the remote regulation operation; determine failure probability of the remote regulation operation based on the first regulation feature; in response to the failure probability satisfying a predetermined failure condition, determine a failure cause distribution; determine a failure cause and send a control signal to the emergency supervision object platform for executing a regulation strategy based on the failure cause distribution.

Abstract: Provided is a method and an Internet of Things (IoT) system for pipeline repair. The method includes: obtaining pipeline repair equipment information and pipeline data to be repaired; determining a performance level of a pipeline repair equipment based on the pipeline repair equipment information; determining a target pipeline repair equipment based on the performance level; constructing a pipeline map to be repaired; determining a repair urgency for each pipeline to be repaired; determining at least one target repair pipeline; determining a pipeline repair sequence; determining repair commands based on the pipeline repair sequence; and controlling, based on the repair commands, the target pipeline repair equipment that is in an idle state and has the performance level not less than a performance threshold to prioritize processing a target repair pipeline with the repair urgency not less than an urgency threshold.

Abstract: The embodiments of the present disclosure provide methods and systems for scheduling operation and maintenance personnel based on an Internet of Things (IoT) system for smart gas installation management. The method may include: obtaining user installation information of at least one operation and maintenance area; determining target installation information of the at least one operation and maintenance area; determining a door-to-door service plan for the at least one operation and maintenance area; obtaining collection data of a gas device configured in the operation and maintenance area; determining a count of on-call personnel of the at least one operation and maintenance area; determining a scheduling capability value of the at least one operation and maintenance area; determining a real-time scheduling instruction; and in response to compensation time off information, updating the scheduling capability value, and adjusting the real-time scheduling instruction.

Abstract: An Internet of Things (IoT)-based large-model system and a method for emergency supervision of an urban lifeline gas pipeline are provided. The system includes an emergency supervision management platform being configured to: control a distributed optical fiber to obtain a first stress distribution and a first displacement distribution of a buried pipeline, wherein the distributed optical fiber is located on the buried pipeline; determine a to-be-detected region corresponding to the buried pipeline based on the first stress distribution and the first displacement distribution; control an unmanned vehicle to detect the buried pipeline within the to-be-detected region to obtain detection data; determine a target valve based on the detection data, and send a valve control instruction; and control the target valve to close based on the valve control instruction.

Abstract: An Internet of Things (IoT) system, method, and storage medium for deformation monitoring of smart gas pipeline networks are provided, wherein a gas company management platform in the IoT system is configured to: determine a first deformation rate and a second deformation rate of a local pipeline section of a target pipeline within a preset target time period; determine a target deformation rate of the local pipeline section; adjust a segmentation manner of the local pipeline section; determine a height variation, a monitoring frequency, and a maintenance frequency of the adjusted local pipeline section within the preset target time period; generate a base regulation instruction, a monitoring work order, and a maintenance work order respectively; and respectively send to the gas equipment object platform, the gas maintenance object platform, and the gas maintenance object platform.

Abstract: Disclosed are an IoT system, a method, and a storage medium for sampling and monitoring a smart gas pipeline. The method is executed by a government safety monitoring and management platform, and includes: obtaining pipeline sensing data; determining a sampling parameter based on the pipeline sensing data; and in response to obtaining at least one piece of sampling data from at least one sampling device, determining a fault detection command based on the sampling data, and sending the fault detection command to a gas maintenance object platform to schedule a manual inspection. The IoT system includes the government safety monitoring and management platform, a government safety monitoring sensing network platform, a government safety monitoring object platform, a gas company sensing network platform, a gas equipment object platform, and the gas maintenance object platform. The method may be executed by reading computer instructions stored in a non-transitory computer-readable storage medium.

Abstract: The present disclosure relates to an IoT large model system and a method for monitoring smart city building deformation. The method includes: determining a device distribution parameter based on three-dimensional data of a target building; generating a deployment instruction based on the device distribution parameter, and controlling a robot to install a plurality of monitoring devices based on the deployment instruction; determining, based on monitoring data obtained from the plurality of monitoring devices during a first time period, deformation data of the target building during a second time period using a deformation prediction model; determining a plurality of control forces based on the deformation data, and determining a first protection parameter based on the plurality of control forces; and sending a control signal to a damper network based on the first protection parameter to actuate a servo-motor actuator of each damper unit of the damper network to generate a force.

Abstract: Embodiments of the present disclosure provide a method, an Internet of Things (IoT) system, and a medium for pipeline repair based on smart gas. The method is executed based on a government supervision and management platform of the IoT system for pipeline repair based on smart gas. The method includes: obtaining pipeline repair equipment information and pipeline data to be repaired; determining a pipeline repair sequence based on the pipeline repair equipment information and the pipeline data to be repaired; based on the repair commands, performing at least one of the following operations: receiving feedback information; determining an updated collection frequency for a pressure regulating equipment and a gas metering device deployed on a target gas pipeline based on the feedback information; and generating a repair update command based on the pipeline data to be repaired, a pressure regulating parameter, a gas supply parameter, and a monitoring data.

Abstract: Methods and Internet of Things (IoT) systems for gas meter management based on a smart gas platform are provided. The method is implemented based on a smart gas device management platform of the IoT system for smart gas meter management, and the method comprises: obtaining traceability information and user information of a gas meter, the traceability information at least including active data and the active data being related to a gas meter management operation performed on the gas meter; in response to the active data satisfying a preset condition, generating warning information and sending the warning information to at least one associated platform of the IoT system for smart gas meter management; in response to receiving request information of a user, retrieving associated traceability information of the gas meter based on the request information, the traceability information, and the user information; and pushing the associated traceability information to the user.

Abstract: Provided are a method and a system for on-site inspection of an underground space based on an emergency supervision IoT large model. The method includes: predicting a first detection risk of each of a plurality of sub-regions to be inspected of a region to be inspected based on air monitoring information, spatial structure data, and an inspection type of the sub-region to be inspected; determining at least one machine inspection region and/or at least one manual inspection region based on the first detection risks; generating a ventilation instruction; controlling a robot to deploy a ventilation device at a target location, and controlling the ventilation device to perform ventilation; generating an inspection instruction based on the first detection risk, the air monitoring information, the spatial structure data, and the inspection type; and controlling the robot to perform an inspection.